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Record W4296196997 · doi:10.1016/j.jcin.2022.08.057

Transcatheter Aortic Valve Replacement With the Latest-Iteration Self-Expanding or Balloon-Expandable Valves

2022· article· en· W4296196997 on OpenAlexaff
Giuliano Costa, Francesco Saia, Thomas Pilgrim, Mohamed Abdel‐Wahab, Philippe Garot, Roberto Valvo, Caterina Gandolfo, Luca Branca, Azeem Latib, Ignacio J. Amat‐Santos, Darren Mylotte, Federico De Marco, Ole De Backer, Luis Nombela‐Franco, Mariama Akodad, Alessandro Mazzapicchi, Daijiro Tomii, Pietro Laforgia, Stefano Cannata, Claudia Fiorina, Andrea Scotti, Mattia Lunardi, Enrico Poletti, Mattia Mazzucca, Angelo Quagliana, Breda Hennessey, David Meier, Marianna Adamo, Carmelo Sgroi, Claudia Reddavid, Orazio Strazzieri, S. Motta, Valentina Frittitta, Elena Dipietro, Alessandro Comis, Chiara Melfa, Hölger Thiele, John G. Webb, Lars Søndergaard, Corrado Tamburino, Marco Barbanti

Bibliographic record

VenueJACC: Cardiovascular Interventions · 2022
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsSt. Paul's HospitalUniversity of British Columbia
FundersBiotronikMedtronicSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungFédération Française de CardiologieBoston Scientific CorporationAbbott Laboratories
KeywordsBalloonValve replacementMedicineRadiologyCardiologyStenosis

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.315
Teacher spread0.294 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations71
Published2022
Admission routes1
Has abstractno

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